code: def share_memory_(self):
      raise RuntimeError(
          "Can't share memory on an uninitialized parameter or buffer. "
          "Call `forward` to initialize the parameters before calling "
          "`module.share_memory()`."
      )
  
imports: import torch
  from torch._C import _disabled_torch_function_impl
  from collections import OrderedDict
label_desc: Use image node_id 3 for calling the UninitializedTensorMixin obj's underlying member method code with example usage: obj.share_memory_() without return types